Co‑create AI vision, KPI tree, and prioritized use‑case portfolio with business leaders. ~ Lead cross‑functional pods (data, platform, app, safety, SRE) from discovery through production. ~ Design A / B and canary rollout strategies;AI system engineering ~Architect and guide implementation of LLM / RAG / agent solutions, including retrieval quality, prompt / policy engineering, guardrails, and evaluation harnesses. ~ Stand up policy‑as‑code, model / prompt versioning, access controls, data residency, and vendor risk assessments. ~ manage expectations. ~ Run demos, evidence‑based decisions, and post‑incident reviews. ~ reduce burden through automation. Must‑have skills : ~ Proven ability to align executives and guide cross‑functional teams without formal authority. ~ Translates technical topics (LLMs, safety, SOs) into business terms and tradeoffs. ~ comfort with A / B testing, canary rollouts, and ROI models. ~ Practical understanding of data governance, privacy, and AI safety guardrails;Hands‑on AI systems integration ~ SLI / SLO design, error budgets, incident management, observability, CI / CD for prompts / policies / indexes. ~ Manufacturing / OT / IoT / Edge AI experience;familiarity with devicedata and shop‑floor constraints. ~ Microsoft Azure : Azure OpenAI, Cognitive Search, API Management, App Service / AKS, Functions, Event Hubs, Key Vault, Monitor;Azure ML or equivalent. Nice‑to‑have skills ~ SAP ecosystem awareness (SAP / S4H processes and integration points for AI governance). ~ Data and knowledge systems ~ Knowledge graphs / ontologies, hybrid retrieval (vector + keyword), embeddings, data contracts. ~ Red‑teaming methods, PII / PHI handling, content moderation pipelines, audit trails. ~ Cost and performance engineering ~ token / call cost controls. 7–12+ years in software / AI product delivery with 3+ years leading cross‑functional initiatives. ~ Track record of shipping AI or data‑intensive systems to production in enterprise settings. ~ Demonstrated practice of Site Reliability Engineering (SRE) / AIOps concepts (SLOs, incident response, observability).